Evidence map›Paper›PMID 23374939›Full record

ReviewThe journal of pain2013

Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges.

Stephen Bruehl, A Vania Apkarian, Jane C Ballantyne, Ann Berger, David Borsook, Wen G Chen, John T Farrar, Jennifer A Haythornthwaite, Susan D Horn, Michael J Iadarola and 10 more

Abstract readReview
In one paragraph

Review in The journal of pain, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
17.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Observational
  10. Article
  11. Predicting Extent of Opioid Use Following Cardiac Surgery: A Pilot Study.Journal of cardiothoracic and vascular anesthesia · 2025
    Observational
  12. Suzetrigine, a Non-Opioid NaJournal of pain research · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Opioid and neuroHIV Comorbidity - Current and Future Perspectives.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2020
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 11 institutions in 1 country.

Stephen BruehlDepartment of Anesthesiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA. stephen.bruehl@vanderbilt.edu
A Vania Apkarian
Jane C Ballantyne
Ann Berger
David Borsook
Wen G Chen
John T Farrar
Jennifer A Haythornthwaite
Susan D Horn
Michael J Iadarola
Charles E Inturrisi
Lixing Lao
Sean Mackey
Jianren Mao
Andrea Sawczuk
George R Uhl
James Witter
Clifford J Woolf
Jon-Kar Zubieta
Yu Lin
National Institutes of Health · USHarvard University · USCornell University · USInternational Severity Information Systems (United States) · USNorthwestern University · USStanford University · USUniversity of Maryland, Baltimore · USUniversity of Michigan–Ann Arbor · USUniversity of Pennsylvania · USUniversity of Washington · USVanderbilt University · US

Funding

Stanford CAM Center for Chronic Back PainP01AT006651 · NCCIH · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2011 to 2018
$8.2M
ALTERED SENSIBILITY FOLLOWING PERIPHERAL NERVE DAMAGER01NS038253 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WOOLF, CLIFFORD J · 1999 to 2017
$8.2M
Neural Plasticity and Inflammatory PainR37NS039518 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WOOLF, CLIFFORD J · 2011 to 2017
$4.7M
Genetic Approaches To Characterizing Drug Responses And Vulnerabilities: HumansZIADA000401 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$3.4M
Predictors of Opioid Analgesic Responses and Common Endogenous Opioid MechanismsR01DA031726 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRUEHL, STEPHEN, BURNS, JOHN W. · 2011 to 2015
$2.7M
Tetrahydrobiopterin and painR01NS058870 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WOOLF, CLIFFORD J · 2008 to 2012
$2.0M
Comparative Effectiveness of Interventions for Chronic Pain ManagementRC2DA028928 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI HORN, SUSAN D, INTURRISI, CHARLES E · 2009 to 2010
$2.0M
Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
Understanding addiction vulnerability genesZIADA000492 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$1.9M
fMRI of Pain in the Human Spinal CordR01NS053961 · NINDS · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2006 to 2010
$1.7M
Integrative And Molecular Studies Of Pain And Pain ControlZIACL090033 · CLC · CLINICAL CENTER · PI MANNES, ANDREW · 2014 to 2025
$0k
Intramural NIH HHSNCCIH NIH HHS P01 AT006651NIDA NIH HHS K24 DA029262NIDA NIH HHS R01 DA031726NIDA NIH HHS R01-DA031726NIDA NIH HHS RC2 DA028928NINDS NIH HHS R01 NS038253NINDS NIH HHS R01 NS053961NINDS NIH HHS R01 NS058870NINDS NIH HHS R37 NS039518NINDS NIH HHS R37NS039518
6 · The paper itself

Abstract

unlabelledUse of opioid analgesics for pain management has increased dramatically over the past decade, with corresponding increases in negative sequelae including overdose and death. There is currently no well-validated objective means of accurately identifying patients likely to experience good analgesia with low side effects and abuse risk prior to initiating opioid therapy. This paper discusses the concept of data-based personalized prescribing of opioid analgesics as a means to achieve this goal. Strengths, weaknesses, and potential synergism of traditional randomized placebo-controlled trial (RCT) and practice-based evidence (PBE) methodologies as means to acquire the clinical data necessary to develop validated personalized analgesic-prescribing algorithms are overviewed. Several predictive factors that might be incorporated into such algorithms are briefly discussed, including genetic factors, differences in brain structure and function, differences in neurotransmitter pathways, and patient phenotypic variables such as negative affect, sex, and pain sensitivity. Currently available research is insufficient to inform development of quantitative analgesic-prescribing algorithms. However, responder subtype analyses made practical by the large numbers of chronic pain patients in proposed collaborative PBE pain registries, in conjunction with follow-up validation RCTs, may eventually permit development of clinically useful analgesic-prescribing algorithms. PERSPECTIVE: Current research is insufficient to base opioid analgesic prescribing on patient characteristics. Collaborative PBE studies in large, diverse pain patient samples in conjunction with follow-up RCTs may permit development of quantitative analgesic-prescribing algorithms that could optimize opioid analgesic effectiveness and mitigate risks of opioid-related abuse and mortality.

Indexed as

Drug PrescriptionsAnalgesics, OpioidBiomarkersBiomedical ResearchChronic PainDrug SynergismGenetic VariationHumansNeurotransmitter AgentsPrecision MedicineRandomized Controlled Trials as TopicAnalgesics, OpioidBiomarkersNeurotransmitter Agents

Identifiers

PMID23374939
PMCPMC3564046
OpenAlexW2134259764

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.